samsung SM-A166P
Geekbench ML Score
177
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 13 2025 10:52 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-A166P |
| Model ID | samsung SM-A166P |
| Motherboard | a16xm |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 3.38 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
85
9.13 IPS |
|
|
Image Classification (F16)
|
100% |
83
8.94 IPS |
|
|
Image Classification (I8)
|
81% |
129
13.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
283
1.75 IPS |
|
|
Image Segmentation (F16)
|
100% |
281
1.74 IPS |
|
|
Image Segmentation (I8)
|
89% |
443
2.73 IPS |
|
|
Pose Estimation (F32)
|
100% |
110
0.45 IPS |
|
|
Pose Estimation (F16)
|
100% |
107
0.43 IPS |
|
|
Pose Estimation (I8)
|
80% |
118
0.48 IPS |
|
|
Object Detection (F32)
|
100% |
140
4.91 IPS |
|
|
Object Detection (F16)
|
100% |
137
4.82 IPS |
|
|
Object Detection (I8)
|
52% |
188
6.59 IPS |
|
|
Face Detection (F32)
|
100% |
269
3.09 IPS |
|
|
Face Detection (F16)
|
100% |
271
3.11 IPS |
|
|
Face Detection (I8)
|
75% |
307
3.52 IPS |
|
|
Text Classification (F32)
|
100% |
224
88.6 IPS |
|
|
Text Classification (F16)
|
100% |
218
86.3 IPS |
|
|
Machine Translation (F32)
|
100% |
172
26.4 IPS |
|
|
Machine Translation (F16)
|
100% |
172
26.5 IPS |
